Database & Data Management · head to head
Firestore vs Ninox

Firestore
Database & Data Management
Flexible, scalable NoSQL cloud database from Firebase
- From
- Free
- Rated
- -
The short version
- Only Firestore has a free tier, so it costs nothing to try first.
- Each has a real cost: Firestore the no-cost Spark plan caps Standard edition at 50,000 document reads, 20,000 writes and 20,000 deletes per day; Ninox paid plans are priced per user starting around 25 euros per month, and offline desktop and mobile access is limited to the higher Business and Enterprise tiers
Where they differ
Only the attributes on which Firestore and Ninox actually diverge.
Identical on both: user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Firestore
- Document Model
- Real-time Updates
- Offline Support
- ACID Transactions
- Expressive Queries
- Multi-region
- Security Rules
- Firebase Auth
Only in Ninox
Nothing recorded that Firestore does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
Firestore
- Storing structured application data with realtime listenersnot Ninox
- Backing mobile and web apps with a serverless document databasenot Ninox
- Building offline first apps that sync when connectivity returnsnot Ninox
Ninox
No use cases recorded yet. See the Ninox review.
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Firestore
- The no-cost Spark plan caps Standard edition at 50,000 document reads, 20,000 writes and 20,000 deletes per day
- The Spark plan caps storage at 1 GiB and network egress at 10 GiB per month
- Charging is per document read, so a query returning many documents bills for every one of them
- Going beyond the free thresholds requires the pay as you go Blaze plan billed at Google Cloud rates with no fixed monthly ceiling
Ninox
- Paid plans are priced per user starting around 25 euros per month, and offline desktop and mobile access is limited to the higher Business and Enterprise tiers
Pricing, plan by plan
Firestore
Free- SparkFree
- 1GB storage
- 50K reads/day
- 20K writes/day
- BlazeFree
- Pay as you go
- Unlimited operations
- Multi-region
Ninox
On requestNo published plan breakdown. See the Ninox review.
Which should you pick?
Choose Firestore if
- You need document model.
- You want to start without paying.
- You work on Web, Ios, Android, Flutter.
- You also want real-time updates.
Choose Ninox if
Nothing in the data separates Ninox from Firestore on the points above - pick on price and on how each one feels to use.
Questions people ask
- Is Firestore or Ninox better?
- Neither clearly leads. Firestore starts at Free and Ninox at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Firestore or Ninox?
- Firestore has a free tier; the other does not. Paid plans start at Free for Firestore and On request for Ninox.
- Does Firestore or Ninox run on more platforms?
- Firestore runs on Web, Ios, Android, Flutter. Ninox runs on Web.
- Can I use Firestore for free?
- Yes. Firestore has a free tier, so you can try it without paying. Ninox starts at On request.
- What is Firestore best used for?
- Firestore is most often used for storing structured application data with realtime listeners, backing mobile and web apps with a serverless document database, building offline first apps that sync when connectivity returns. Of those, storing structured application data with realtime listeners and backing mobile and web apps with a serverless document database are not what Ninox is typically brought in for.
- What can Firestore do that Ninox cannot?
- Firestore covers Document Model, Real-time Updates, Offline Support, ACID Transactions.
Related pages
Other head to heads
- Firestore vs Cockroach Labs
- Firestore vs PostgreSQL
- Firestore vs Airtable
- Firestore vs Amazon Aurora
- Firestore vs Elasticsearch
- Firestore vs PlanetScale
- Firestore vs Azure SQL
- Firestore vs ClickHouse
- Firestore vs Couchbase
- Firestore vs DuckDB
- Firestore vs DynamoDB
- Firestore vs MariaDB
- Firestore vs Oracle Database
- Firestore vs Amazon RDS
- Firestore vs Amazon Redshift
- Firestore vs Apache Druid
- Firestore vs Cassandra
- Firestore vs CouchDB
- Ninox vs Cockroach Labs
- Ninox vs PostgreSQL
- Ninox vs Airtable
- Ninox vs Amazon Aurora
- Ninox vs Elasticsearch
- Ninox vs PlanetScale
- Ninox vs Azure SQL
- Ninox vs ClickHouse
- Ninox vs Couchbase
- Ninox vs DuckDB
- Ninox vs DynamoDB
- Ninox vs MariaDB
- Ninox vs Oracle Database
- Ninox vs Amazon RDS
- Ninox vs Amazon Redshift
- Ninox vs Apache Druid
- Ninox vs Cassandra
- Ninox vs CouchDB
